Research for adaptive digital predistortion based on BP-LMS

In general, the characteristic of the radio frequency power amplifier varies with many kinds of factors, such as the environment temperature, power supply, etc. In order to guarantee the steady operation of the predistortion power amplifier, the adaptive performance of the predistortion system seems...

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Bibliographic Details
Published in2010 International Conference on Computational Problem-Solving pp. 131 - 135
Main Authors Zhiying Guo, Jingchang Nan, Jiuchao Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Adaptation model
Convergence
Least squares approximation
Mathematical model
Predistortion
Signal processing algorithms
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ISBN9781424486540
1424486548

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Summary:In general, the characteristic of the radio frequency power amplifier varies with many kinds of factors, such as the environment temperature, power supply, etc. In order to guarantee the steady operation of the predistortion power amplifier, the adaptive performance of the predistortion system seems very important. Based on the original adaptive algorithm, this paper presents a new variable step size LMS algorithm based on neural network (BP_LMS) for the shortcoming convergence performance of the standard LMS algorithm, and applied it to adaptive digital predistortion. Finally, it build an adaptive predistortion system in MATLAB, simulation results show that the algorithm in improved predistortion amplifier is better than previous algorithms.
ISBN:9781424486540
1424486548